Maha Helal

19 papers and 243 indexed citations i.

About

Maha Helal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maha Helal has authored 19 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maha Helal’s work include AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Maha Helal is often cited by papers focused on AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Maha Helal collaborates with scholars based in Egypt, Saudi Arabia and United States. Maha Helal's co-authors include Aly Fahmy, Abeer ElKorany, Sahar Mansour, Rasha Kamal, Nelly Alieldin, Mohamed A. Ibraheem, Ebtesam Esmail Hassan, Mohammed Zakariah, Sahar Mansour and Dorria Salem and has published in prestigious journals such as Sensors, IEEE Access and British Journal of Radiology.

In The Last Decade

Co-authorship network of co-authors of Maha Helal i

Fields of papers citing papers by Maha Helal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maha Helal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maha Helal. The network helps show where Maha Helal may publish in the future.

Countries citing papers authored by Maha Helal

Since Specialization
Citations

This map shows the geographic impact of Maha Helal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maha Helal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Helal more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025